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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 20471
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    Explanations

    phrases describing explosive events

    oai_token-act-pair · gpt-3.5-turbo

    words related to explosions or explosive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leg
    -0.83
    nda
    -0.77
    ajo
    -0.74
    lege
    -0.72
    chal
    -0.71
    esthetic
    -0.71
    ña
    -0.70
    friend
    -0.70
    aunder
    -0.70
    ciplinary
    -0.69
    POSITIVE LOGITS
     shells
    0.83
     bursting
    0.81
    opl
    0.75
     explodes
    0.73
     furn
    0.73
     exploding
    0.72
     fireworks
    0.72
     furnace
    0.71
     combust
    0.69
     bursts
    0.69
    Activations Density 0.035%

    No Known Activations